*OPEN STATA OUTPUT FILE LOG *


*log using "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Confirmation Delay & Senate Committees\2023 Version\Fall 2024 \Statistics\Output\Committee Delay.APPENDIX C RESULTS.smcl", replace


log using "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Output/Committee Delay.APPENDIX C RESULTS.smcl", replace

  
  
**** JSB UPDATED DATABASE: ADDING EXECUTIVE NOMINATION POSITIONS COVERED IN OSTRANDER DATABASE FROM MAY 2012 THROUGH DECEMBER 2020 AND UPDATING ALL OTHER DATA [SUMMER/FALL 2023]: /// 
*** ADDITIONAL VARIABLES ADDED IN MARCH 2024 IN RESPSONSE TO LSQ REFEREE REPORTS ****

**** "EXECUTIVE DEFERENCE OR LEGISLATIVE CONSTRAINT? COMMITTEE FOUNDATIONS OF CONFIRMATION DELAY FOR U.S. EXECUTIVE BRANCH APPOINTMENTS" [KRAUSE & BYERS] ****

 

   
*****************************************************************************************************************************************************************************************
*****************************************************************************************************************************************************************************************
*****************************************************************************************************************************************************************************************
*****************************************************************************************************************************************************************************************
   
   





 
***  APPENDIX C: SUBSAMPLE SENSITIVITY ANALYSES: (1) OMIT NON-MAJOR POLICY AGENCY NOMINATIONS (I.E., CONTAINING ONLY MAJOR POLICY AGENCY NOMINEE OBSERVATIONS [N = 2,494; 25.25% of full sample];  ***
***                                              (2) OMIT FIRST 90 DAYS 'INITIAL WAVE' NOMINEES PER NEW ADMINISTRATION [N = 449; 4.54% of full sample];   ***
***                                              (3) OMIT RULE 31 NOMINATIONS RENOMINATED IN SAME CONGRESS [N = 563; 5.70% of full sample]  ***   
***												 (4) OMIT POST-NUCLEAR OPTION [NOVEMBER 21, 2013] EXECUTIVE NOMINATIONS [N = 8,222; 83.23% of full sample]  
***                                              (5) COMPARE LOW COMMITTEE MEAN DELAY PRESIDENTS [REAGAN, BUSH 43, & OBAMA] TO HIGH COMMITTEE MEAN DELAY PRESIDENTS [BUSH41, CLINTON, & TRUMP] 





**************************************************************************************************************************************************************************************** **************************************************************************************************************************************************************************************** *************************************************************************************************************************************************************************************** ****************************************************************************************************************************************************************************************
			  			  
	
  
*** COMMITTEE CONTROL COVARIATES:       experience_median [MODELS C1, C3, C5, C7, C9, C11, C13, & C15] / chair_experience_1 [MODELS C2, C4, C6, C8, C10, C12, C14, & C16]; ///
***										ln_combills_workload; committeestaffsize [# Committee Staff]   
    
*** OSTRANDER CONTROL COVARIATES:       sendivide  polarization pres_app_m first90 preselection lameduck workload [Executive Civilian Nominations: Senate] 
***										female priorconfirm _Itier_2 _Itier_3 _Itier_4 defense infrastructure social


*** ADDITIONAL CONTROL COVARIATES:      pressenfloorabsdist [-] [|Senate Floor Median - President|]; kv_workload (# civilian executive nominations made in a given year/session)	
***										denied [-] [nominee previously denied in same Congress]; fvra [+] [= 1 if subject to FVRA 1998, = 0 otherwise]; 
***										firstrecess[-] [= 1 is nominated in July or August affected by August Recess, = 0 otherwise]; 
*** 									secondrecess [-] [= 1 is nominated in November or December affected by December Recess, = 0 otherwise]; major policy agency binary indicator [-];                      
***                                     committee-level & pressidential administration unit/fixed effects.
                                        
                                
							                       
 
	   
	   
	   

  
 * OPEN UPDATED "CONFIRMATION DELAY & SENATE COMMITTEES PROJECT" MANUSCRIPT DATABASE [12-23-2024] *
 
*use "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Confirmation Delay & Senate Committees\2023 Version\Spring 2024\Statistics\Data\Committee Delay.MANUSCRIPT RESULTS.12-23-2024.dta", replace

use "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Data/Committee Delay.MANUSCRIPT RESULTS.12-23-2024.dta", replace




****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
  

  
  
 
***  SUBSAMPLE SENSITIVITY ANALYSES: (1) OMIT NON-MAJOR POLICY AGENCY NOMINATIONS (I.E., CONTAINING ONLY MAJOR POLICY AGENCY NOMINEE OBSERVATIONS [N = 2,494; 25.25% of full sample])  ***

  
  
  
  

** SET UP DATA TO BE READ IN DURATION/SURVIVAL TIME FORM & CREATE REQUISITE INTERACTION VARIABLES TO BE USED IN EVALUATING THE PARTISAN SELECTIVE COMMITTEE DELAY HYPOTHESIS **

stset legvetdur2plus1, failure(confirmbinary)

*
*
*
*


* SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C1: COX SEMIPARAMETRIC MODEL] *

stcox  c.committee_pres1##i.sendivide  pressenfloorabsdist  experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess   i.kbcom_1  i.presrev  if policy_majagency==1,  vce(cluster kbcom_1)

*
*

* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
lincomest (committee_pres1 * 0.3398148 +  1.sendivide#c.committee_pres1 * 0.2478891) - committee_pres1 * 0.3398148, eform(hr)
matrix modelC1 = r(table)
mat list modelC1
*
*
*




****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************


* SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C2: COX SEMIPARAMETRIC MODEL]] *

stcox  c.chair_pres1##i.sendivide  pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess   i.kbcom_1  i.presrev  if policy_majagency==1, vce(cluster kbcom_1)
*
*
* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
lincomest (chair_pres1 * 0.269076 +  1.sendivide#c.chair_pres1 * 0.2389354) - chair_pres1 * 0.269076, eform(hr)
matrix modelC2= r(table)
mat list modelC2
*

*
*



**********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
 
 


* SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C3: WEIBULL PARAMETRIC MODEL] *

streg  c.committee_pres1##i.sendivide   pressenfloorabsdist  experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess  i.kbcom_1  i.presrev  if policy_majagency==1, distribution(weibull) vce(cluster kbcom_1)

*
*

* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
lincomest (committee_pres1 * 0.3398148 +  1.sendivide#c.committee_pres1 * 0.2478891) - committee_pres1 * 0.3398148, eform(hr)
matrix modelC3 = r(table)
mat list modelC3
*
*
*




****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************



* SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C4: WEIBULL PARAMETRIC MODEL] *

streg  c.chair_pres1##i.sendivide   pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess   i.kbcom_1 i.presrev  if policy_majagency==1, distribution(weibull) vce(cluster kbcom_1)
*
*
* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
lincomest (chair_pres1 * 0.269076 +  1.sendivide#c.chair_pres1 * 0.2389354) - chair_pres1 * 0.269076, eform(hr)
matrix modelC4= r(table)
mat list modelC4
*

*
* 
 
 
 
 
**** CREATE FIGURE C1 BASED ON MODELS C1-C4 MARGINAL HAZARD RATIO EFFECT ESTIMATES ******
 
**** FIGURE C1 ****

matrix A = J(4, 3, .)
matrix coln A = Point ll95 ul95
matrix rown A = 1 2 3 4

matrix A[1,1] = modelC1[1,1]
matrix A[1,2] = modelC1[5,1]
matrix A[1,3] = modelC1[6,1]

matrix A[2,1] = modelC2[1,1]
matrix A[2,2] = modelC2[5,1]
matrix A[2,3] = modelC2[6,1]

matrix A[3,1] = modelC3[1,1]
matrix A[3,2] = modelC3[5,1]
matrix A[3,3] = modelC3[6,1]

matrix A[4,1] = modelC4[1,1]
matrix A[4,2] = modelC4[5,1]
matrix A[4,3] = modelC4[6,1]


**********

coefplot (matrix(A[,1]), ci((2 3))), grid(none) xline(1, lcolor(red%40) lpattern(dash)) xtitle("Hazard Ratio", size(small) margin(t=2)) ylabel(1 "Model C1" 2 "Model C2" 3 "Model C3" 4 "Model C4", labsize(small) noticks) mlabel format(%9.3f) mlabposition(12) mlabsize(vsmall) xlabel(0(1)2, angle(0) labsize(small) format(%9.1f)) msymbol(o) mcolor(black) msize(small) title("FIGURE C1", size(med)) ciopts(lcolor(black)) legend(off) subtitle("Differential Partisan Control Effects of Committee-President Ideological Distance" "(Major Policy Agency Nominees Only)", size(small))

*graph save "Graph" "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Confirmation Delay & Senate Committees\2023 Version\Fall 2024\Statistics\Graphics\Appendix C\FigureC1.gph", replace

graph save "Graph" "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix C/FigureC1.gph", replace
 
 
 


****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************





 
***  SUBSAMPLE SENSITIVITY ANALYSES: (2) OMIT FIRST 90 DAYS 'INITIAL WAVE' NOMINEES PER NEW ADMINISTRATION [N = 449, 4.54% of full sample]  ***

  
  
  
  
  

** SET UP DATA TO BE READ IN DURATION/SURVIVAL TIME FORM & CREATE REQUISITE INTERACTION VARIABLES TO BE USED IN EVALUATING THE PARTISAN SELECTIVE COMMITTEE DELAY HYPOTHESIS **

stset legvetdur2plus1, failure(confirmbinary)

*
*
*
*



* SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C5: COX SEMIPARAMETRIC MODEL] *

stcox  c.committee_pres1##i.sendivide pressenfloorabsdist  experience_median  committeestaffsize ln_combills_workload   pres_app_m  preselection lameduck    kv_workload  polarization  workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess  i.kbcom_1  i.presrev   if first90==0,  vce(cluster kbcom_1)

*
*

* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
lincomest (committee_pres1 * 0.303 +  1.sendivide#c.committee_pres1 * 0.2483547) - committee_pres1 * 0.303, eform(hr)
matrix modelC5 = r(table)
mat list modelC5
*
*
*




****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************


* SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C6: COX SEMIPARAMETRIC MODEL] *

stcox  c.chair_pres1##i.sendivide  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m  preselection lameduck    kv_workload  polarization  workload    female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev   if first90==0, vce(cluster kbcom_1)
*
*
* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
lincomest (chair_pres1 * 0.2724212 +  1.sendivide#c.chair_pres1 * 0.2413317) - chair_pres1 * 0.2724212, eform(hr)
matrix modelC6= r(table)
mat list modelC6
*

*
*



**********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
 
 


* SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C7: WEIBULL PARAMETRIC MODEL] *

streg  c.committee_pres1##i.sendivide   pressenfloorabsdist  experience_median  committeestaffsize ln_combills_workload   pres_app_m  preselection lameduck    kv_workload  polarization  workload  female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess   i.kbcom_1  i.presrev  if first90==0, distribution(weibull) vce(cluster kbcom_1)

*
*

* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
lincomest (committee_pres1 * 0.303 +  1.sendivide#c.committee_pres1 * 0.2483547) - committee_pres1 * 0.303, eform(hr)
matrix modelC7 = r(table)
mat list modelC7
*
*
*




****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************



* SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C8: WEIBULL PARAMETRIC MODEL] *

streg  c.chair_pres1##i.sendivide  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m  preselection lameduck    kv_workload  polarization  workload    female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1 i.presrev  if first90==0, distribution(weibull) vce(cluster kbcom_1)
*
*
* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
lincomest (chair_pres1 * 0.2724212 +  1.sendivide#c.chair_pres1 * 0.2413317) - chair_pres1 * 0.2724212, eform(hr)
matrix modelC8= r(table)
mat list modelC8
*

*
* 
 
 
 
 
**** CREATE FIGURE C2 BASED ON MODELS C5-C8 MARGINAL HAZARD RATIO EFFECT ESTIMATES ******

**** FIGURE C2 ****

matrix C = J(4, 3, .)
matrix coln C = Point ll95 ul95
matrix rown C = 1 2 3 4

matrix C[1,1] = modelC5[1,1]
matrix C[1,2] = modelC5[5,1]
matrix C[1,3] = modelC5[6,1]

matrix C[2,1] = modelC6[1,1]
matrix C[2,2] = modelC6[5,1]
matrix C[2,3] = modelC6[6,1]

matrix C[3,1] = modelC7[1,1]
matrix C[3,2] = modelC7[5,1]
matrix C[3,3] = modelC7[6,1]

matrix C[4,1] = modelC8[1,1]
matrix C[4,2] = modelC8[5,1]
matrix C[4,3] = modelC8[6,1]


**********

coefplot (matrix(C[,1]), ci((2 3))), grid(none) xline(1, lcolor(red%40) lpattern(dash)) xtitle("Hazard Ratio", size(small) margin(t=2)) ylabel(1 "Model C5" 2 "Model C6" 3 "Model C7" 4 "Model C8", labsize(small) noticks) mlabel format(%9.3f) mlabposition(12) mlabsize(vsmall) xlabel(0(1)2, angle(0) labsize(small) format(%9.1f)) msymbol(o) mcolor(black) msize(small) title("FIGURE C2", size(med)) ciopts(lcolor(black)) legend(off) subtitle("Differential Partisan Control Effects of Committee-President Ideological Distance" "(First 90 Days Nominees Omitted)", size(small))


*graph save "Graph" "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Confirmation Delay & Senate Committees\2023 Version\Spring 2024\Statistics\Graphics\Appendix C\FigureC2.gph", replace

graph save "Graph" "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix C/FigureC2.gph", replace
 
 
 
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************





 
***  SUBSAMPLE SENSITIVITY ANALYSES: (3) OMIT RULE 31 NOMINATIONS THAT ARE RENOMINATED IN SAME CONGRESS [N = 563, 5.70% of full sample]  ***   

  
  
  
  

** SET UP DATA TO BE READ IN DURATION/SURVIVAL TIME FORM & CREATE REQUISITE INTERACTION VARIABLES TO BE USED IN EVALUATING THE PARTISAN SELECTIVE COMMITTEE DELAY HYPOTHESIS **

stset legvetdur2plus1, failure(confirmbinary)

*
*
*
*




* SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C9: COX SEMIPARAMETRIC MODEL] *

stcox  c.committee_pres1##i.sendivide  pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency i.kbcom_1  i.presrev   if samecongnew==0,  vce(cluster kbcom_1)

*
*

* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
lincomest (committee_pres1 * 0.32116 +  1.sendivide#c.committee_pres1 * 0.241889) - committee_pres1 * 0.32116, eform(hr)
matrix modelC9 = r(table)
mat list modelC9
*
*
*




****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************


* SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C10: COX SEMIPARAMETRIC MODEL] *

stcox  c.chair_pres1##i.sendivide   pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1  i.presrev   if samecongnew==0,  vce(cluster kbcom_1)
*
*
* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
lincomest (chair_pres1 * 0.271 +  1.sendivide#c.chair_pres1 * 0.2354347) - chair_pres1 * 0.271, eform(hr)
matrix modelC10= r(table)
mat list modelC10
*

*
*



**********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
 
 


* SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C11: WEIBULL PARAMETRIC MODEL] *

streg  c.committee_pres1##i.sendivide   pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev  if samecongnew==0, distribution(weibull) vce(cluster kbcom_1)

*
*

* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
lincomest (committee_pres1 * 0.32116 +  1.sendivide#c.committee_pres1 * 0.241889) - committee_pres1 * 0.32116, eform(hr)
matrix modelC11 = r(table)
mat list modelC11
*
*
*




****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************


* SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C12: WEIBULL PARAMETRIC MODEL] *

streg  c.chair_pres1##i.sendivide   pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1 i.presrev  if samecongnew==0, distribution(weibull) vce(cluster kbcom_1)
*
*
* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
lincomest (chair_pres1 * 0.271 +  1.sendivide#c.chair_pres1 * 0.2354347) - chair_pres1 * 0.271, eform(hr)
matrix modelC12= r(table)
mat list modelC12
*

*
* 
 
 
 
 
**** CREATE FIGURE C3 BASED ON MODELS C9-C12 MARGINAL HAZARD RATIO EFFECT ESTIMATES ******
 
**** FIGURE C3 ****

matrix E = J(4, 3, .)
matrix coln E = Point ll95 ul95
matrix rown E = 1 2 3 4

matrix E[1,1] = modelC9[1,1]
matrix E[1,2] = modelC9[5,1]
matrix E[1,3] = modelC9[6,1]

matrix E[2,1] = modelC10[1,1]
matrix E[2,2] = modelC10[5,1]
matrix E[2,3] = modelC10[6,1]

matrix E[3,1] = modelC11[1,1]
matrix E[3,2] = modelC11[5,1]
matrix E[3,3] = modelC11[6,1]

matrix E[4,1] = modelC12[1,1]
matrix E[4,2] = modelC12[5,1]
matrix E[4,3] = modelC12[6,1]


**********

coefplot (matrix(E[,1]), ci((2 3))), grid(none) xline(1, lcolor(red%40) lpattern(dash)) xtitle("Hazard Ratio", size(small) margin(t=2)) ylabel(1 "Model C9" 2 "Model C10" 3 "Model C11" 4 "Model C12", labsize(small) noticks) mlabel format(%9.3f) mlabposition(12) mlabsize(vsmall) xlabel(0(1)2, angle(0) labsize(small) format(%9.1f)) msymbol(o) mcolor(black) msize(small) title("FIGURE C3", size(med)) ciopts(lcolor(black)) legend(off) subtitle("Differential Partisan Control Effects of Committee-President Ideological Distance" "(Renominated Rule 31 Nominees Omitted)", size(small))
 
 



*graph save "Graph" "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Confirmation Delay & Senate Committees\2023 Version\Spring 2024\Statistics\Graphics\Appendix C\FigureC3.gph", replace

graph save "Graph" "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix C/FigureC3.gph", replace





****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
*************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************




 
***  SUBSAMPLE SENSITIVITY ANALYSES: (4) OMIT POST-NUCLEAR OPTION [NOVEMBER 21, 2013] EXECUTIVE NOMINATIONS [N = 8,222; 83.23% of full sample]   ***   



  
    
  

** SET UP DATA TO BE READ IN DURATION/SURVIVAL TIME FORM & CREATE REQUISITE INTERACTION VARIABLES TO BE USED IN EVALUATING THE PARTISAN SELECTIVE COMMITTEE DELAY HYPOTHESIS **

stset legvetdur2plus1, failure(confirmbinary)

*
*


* SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C13: COX SEMIPARAMETRIC MODEL] *

stcox  c.committee_pres1##i.sendivide  pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev   if nuclear_option==0, vce(cluster kbcom_1)

*
*

* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
lincomest (committee_pres1 * 0.32116 +  1.sendivide#c.committee_pres1 * 0.241889) - committee_pres1 * 0.32116, eform(hr)
matrix modelC13 = r(table)
mat list modelC13
*
*
*




****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************


* SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C14: COX SEMIPARAMETRIC MODEL] *

stcox  c.chair_pres1##i.sendivide   pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev   if nuclear_option==0, vce(cluster kbcom_1)
*
*
* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
lincomest (chair_pres1 * 0.271 +  1.sendivide#c.chair_pres1 * 0.2354347) - chair_pres1 * 0.271, eform(hr)
matrix modelC14= r(table)
mat list modelC14
*

*
*



**********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
 
 


* SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C15: WEIBULL PARAMETRIC MODEL] *

streg  c.committee_pres1##i.sendivide   pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev  if nuclear_option==0, distribution(weibull) vce(cluster kbcom_1)

*
*

* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
lincomest (committee_pres1 * 0.32116 +  1.sendivide#c.committee_pres1 * 0.241889) - committee_pres1 * 0.32116, eform(hr)
matrix modelC15 = r(table)
mat list modelC15
*
*
*




****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************


* SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C16: WEIBULL PARAMETRIC MODEL] *

streg  c.chair_pres1##i.sendivide   pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1 i.presrev  if nuclear_option==0, distribution(weibull) vce(cluster kbcom_1)
*
*
* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
lincomest (chair_pres1 * 0.271 +  1.sendivide#c.chair_pres1 * 0.2354347) - chair_pres1 * 0.271, eform(hr)
matrix modelC16= r(table)
mat list modelC16
*

*
* 
 
 
 
 
**** CREATE FIGURE C4 BASED ON MODELS C13-C16 MARGINAL HAZARD RATIO EFFECT ESTIMATES ******
 
**** FIGURE C4 ****

matrix G = J(4, 3, .)
matrix coln G = Point ll95 ul95
matrix rown G = 1 2 3 4

matrix G[1,1] = modelC13[1,1]
matrix G[1,2] = modelC13[5,1]
matrix G[1,3] = modelC13[6,1]

matrix G[2,1] = modelC14[1,1]
matrix G[2,2] = modelC14[5,1]
matrix G[2,3] = modelC14[6,1]

matrix G[3,1] = modelC15[1,1]
matrix G[3,2] = modelC15[5,1]
matrix G[3,3] = modelC15[6,1]

matrix G[4,1] = modelC16[1,1]
matrix G[4,2] = modelC16[5,1]
matrix G[4,3] = modelC16[6,1]


**********

coefplot (matrix(G[,1]), ci((2 3))), grid(none) xline(1, lcolor(red%40) lpattern(dash)) xtitle("Hazard Ratio", size(small) margin(t=2)) ylabel(1 "Model C13" 2 "Model C14" 3 "Model C15" 4 "Model C16", labsize(small) noticks) mlabel format(%9.3f) mlabposition(12) mlabsize(vsmall) xlabel(0(1)2, angle(0) labsize(small) format(%9.1f)) msymbol(o) mcolor(black) msize(small) title("FIGURE C4", size(med)) ciopts(lcolor(black)) legend(off) subtitle("Differential Partisan Control Effects of Committee-President Ideological Distance" "(Post-Nuclear Option Nominees Omitted)", size(small))
 
 


*graph save "Graph" "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Confirmation Delay & Senate Committees\2023 Version\Spring 2024\Statistics\Graphics\Appendix C\FigureC4.gph", replace

graph save "Graph" "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix C/FigureC4.gph", replace





****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************




 
***  SUBSAMPLE SENSITIVITY ANALYSES: (5) COMPARE HIGH COMMITTEE MEAN DELAY PRESIDENTS [REAGAN, BUSH 43, & OBAMA] TO LOW COMMITTEE MEAN DELAY PRESIDENTS [BUSH41, CLINTON, & TRUMP]   ***   


** PERFORM NONPARAMETRIC TRENDS TEST FOR VARIATION IN MEAN COMMITTEE CONFIRMATION DELAY FOR EXECUTIVE NOMINEES WITHIN EACH PRESIDENTIAL ADMINISTRATION **
** USE JONCKHEERE-TERPSTRA TEST WHICH DOES NOT ASSUME FUNCTIONAL FORM [E.G., LINEARITY] ** 


* FULL SAMPLE OF EXECUTIVE NOMINEES *
nptrend legvet2, group(presrev) jterpstra exact

*
*

* SUBSAMPLE OF CONFIRMED EXECUTIVE NOMINEES *
nptrend  legvet2 if confirmbinary==1, group(presrev) jterpstra exact



** DUE TO NON-MONOTONIC NATURE OF COMMITTEE DELAY MEAN DIFFERENCES ARISE ACROSS PRESIDENTS FOR SUBSAMPLE OF CONFIRMED NOMINEES, WE UNDERTAKE SUB-SAMPLE ANALYSIS WITH "HIGH" COMMITTEE DELAY PRESIDENTS [REAGAN, BUSH 43, & OBAMA] VERSUS "LOW" COMMITTEE DELAY PRESIDENTS [BUSH41, CLINTON, & TRUMP] **

* CREATE BINARY PRESIDENTIAL ADMINISTRATION INDICATOR *

gen     preshighcomdelay = 1 if presrev==1 | presrev==4 | presrev==5
*
replace preshighcomdelay = 0 if  presrev==2 | presrev==3 | presrev==6
  
    
	
	
	
  

** SET UP DATA TO BE READ IN DURATION/SURVIVAL TIME FORM & CREATE REQUISITE INTERACTION VARIABLES TO BE USED IN EVALUATING THE PARTISAN SELECTIVE COMMITTEE DELAY HYPOTHESIS **

stset legvetdur2plus1, failure(confirmbinary)

*
*
*

****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************




* "LOW COMMITTEE DELAY" PRESIDENTIAL ADMINISTRATIONS -- SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C17: COX SEMIPARAMETRIC MODEL] *

stcox  c.committee_pres1##i.sendivide  pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency i.kbcom_1  i.presrev   if preshighcomdelay==0, vce(cluster kbcom_1)

*
*

* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
lincomest (committee_pres1 * 0.32116 +  1.sendivide#c.committee_pres1 * 0.241889) - committee_pres1 * 0.32116, eform(hr)
matrix modelC17 = r(table)
mat list modelC17
*
*
*




****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************



* "LOW COMMITTEE DELAY" PRESIDENTIAL ADMINISTRATIONS -- SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C18: COX SEMIPARAMETRIC MODEL] *

stcox  c.chair_pres1##i.sendivide  pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload   female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1  i.presrev   if preshighcomdelay==0,  vce(cluster kbcom_1)
*
*

* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
lincomest (chair_pres1 * 0.271 +  1.sendivide#c.chair_pres1 * 0.2354347) - chair_pres1 * 0.271, eform(hr)
matrix modelC18= r(table)
mat list modelC18
*

*
*



**********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
 
 


* "LOW COMMITTEE DELAY" PRESIDENTIAL ADMINISTRATIONS -- SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C19: WEIBULL PARAMETRIC MODEL] *

streg  c.committee_pres1##i.sendivide   pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev  if preshighcomdelay==0, distribution(weibull) vce(cluster kbcom_1)

*
*

* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
lincomest (committee_pres1 * 0.32116 +  1.sendivide#c.committee_pres1 * 0.241889) - committee_pres1 * 0.32116, eform(hr)
matrix modelC19 = r(table)
mat list modelC19
*
*
*




****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************


* "LOW COMMITTEE DELAY" PRESIDENTIAL ADMINISTRATIONS -- SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C20: WEIBULL PARAMETRIC MODEL] *

streg  c.chair_pres1##i.sendivide   pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1 i.presrev  if preshighcomdelay==0, distribution(weibull) vce(cluster kbcom_1)
*
*
* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
lincomest (chair_pres1 * 0.271 +  1.sendivide#c.chair_pres1 * 0.2354347) - chair_pres1 * 0.271, eform(hr)
matrix modelC20= r(table)
mat list modelC20
*

*
* 
 
 
 
 
**** CREATE FIGURE C5 BASED ON MODELS C17-C20 MARGINAL HAZARD RATIO EFFECT ESTIMATES ******
 
**** FIGURE C5 ****

matrix G = J(4, 3, .)
matrix coln G = Point ll95 ul95
matrix rown G = 1 2 3 4

matrix G[1,1] = modelC17[1,1]
matrix G[1,2] = modelC17[5,1]
matrix G[1,3] = modelC17[6,1]

matrix G[2,1] = modelC18[1,1]
matrix G[2,2] = modelC18[5,1]
matrix G[2,3] = modelC18[6,1]

matrix G[3,1] = modelC19[1,1]
matrix G[3,2] = modelC19[5,1]
matrix G[3,3] = modelC19[6,1]

matrix G[4,1] = modelC20[1,1]
matrix G[4,2] = modelC20[5,1]
matrix G[4,3] = modelC20[6,1]


**********

coefplot (matrix(G[,1]), ci((2 3))), grid(none) xline(1, lcolor(red%40) lpattern(dash)) xtitle("Hazard Ratio", size(small) margin(t=2)) ylabel(1 "Model C17" 2 "Model C18" 3 "Model C19" 4 "Model C20", labsize(small) noticks) mlabel format(%9.3f) mlabposition(12) mlabsize(vsmall) xlabel(0(1)4, angle(0) labsize(small) format(%9.1f)) msymbol(o) mcolor(black) msize(small) title("FIGURE C5", size(med)) ciopts(lcolor(black)) legend(off) subtitle("Differential Partisan Control Effects of Committee-President Ideological Distance" "(Only 'Low Committee Delay' Presidential Administrations)", size(small))
 
 


*graph save "Graph" "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Confirmation Delay & Senate Committees\2023 Version\Spring 2024\Statistics\Graphics\Appendix C\FigureC5.gph", replace

graph save "Graph" "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix C/FigureC5.gph", replace

 


****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************


 
 


* "HIGH COMMITTEE DELAY" PRESIDENTIAL ADMINISTRATIONS -- SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C21: COX SEMIPARAMETRIC MODEL] *

stcox  c.committee_pres1##i.sendivide  pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency i.kbcom_1  i.presrev   if preshighcomdelay==1,  vce(cluster kbcom_1)

*
*

* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
lincomest (committee_pres1 * 0.32116 +  1.sendivide#c.committee_pres1 * 0.241889) - committee_pres1 * 0.32116, eform(hr)
matrix modelC21 = r(table)
mat list modelC21
*
*
*




****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************




* "HIGH COMMITTEE DELAY" PRESIDENTIAL ADMINISTRATIONS -- SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C22: COX SEMIPARAMETRIC MODEL] *

stcox  c.chair_pres1##i.sendivide  pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1  i.presrev   if preshighcomdelay==1,  vce(cluster kbcom_1)
*
*
* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
lincomest (chair_pres1 * 0.271 +  1.sendivide#c.chair_pres1 * 0.2354347) - chair_pres1 * 0.271, eform(hr)
matrix modelC22= r(table)
mat list modelC22
*
*
*



*********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
 
 


* "HIGH COMMITTEE DELAY" PRESIDENTIAL ADMINISTRATIONS -- SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C23: WEIBULL PARAMETRIC MODEL] *

streg  c.committee_pres1##i.sendivide   pressenfloorabsdist   experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev  if preshighcomdelay==1, distribution(weibull) vce(cluster kbcom_1)

*
*

* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  *
lincomest (committee_pres1 * 0.32116 +  1.sendivide#c.committee_pres1 * 0.241889) - committee_pres1 * 0.32116, eform(hr)
matrix modelC23 = r(table)
mat list modelC23
*
*
*


****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************



* "HIGH COMMITTEE DELAY" PRESIDENTIAL ADMINISTRATIONS -- SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL C24: WEIBULL PARAMETRIC MODEL] *

streg  c.chair_pres1##i.sendivide   pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1 i.presrev  if  preshighcomdelay==1, distribution(weibull) vce(cluster kbcom_1)
*
*
* DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail
sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail


** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 

* DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" *
lincomest (chair_pres1 * 0.271 +  1.sendivide#c.chair_pres1 * 0.2354347) - chair_pres1 * 0.271, eform(hr)
matrix modelC24= r(table)
mat list modelC24
*

*
* 
 
 
 
 
**** CREATE FIGURE C6 BASED ON MODELS C21-C24 MARGINAL HAZARD RATIO EFFECT ESTIMATES ******
 
**** FIGURE C6 ****

matrix G = J(4, 3, .)
matrix coln G = Point ll95 ul95
matrix rown G = 1 2 3 4

matrix G[1,1] = modelC21[1,1]
matrix G[1,2] = modelC21[5,1]
matrix G[1,3] = modelC21[6,1]

matrix G[2,1] = modelC22[1,1]
matrix G[2,2] = modelC22[5,1]
matrix G[2,3] = modelC22[6,1]

matrix G[3,1] = modelC23[1,1]
matrix G[3,2] = modelC23[5,1]
matrix G[3,3] = modelC23[6,1]

matrix G[4,1] = modelC24[1,1]
matrix G[4,2] = modelC24[5,1]
matrix G[4,3] = modelC24[6,1]


**********

coefplot (matrix(G[,1]), ci((2 3))), grid(none) xline(1, lcolor(red%40) lpattern(dash)) xtitle("Hazard Ratio", size(small) margin(t=2)) ylabel(1 "Model C21" 2 "Model C22" 3 "Model C23" 4 "Model C24", labsize(small) noticks) mlabel format(%9.3f) mlabposition(12) mlabsize(vsmall) xlabel(0(1)2, angle(0) labsize(small) format(%9.1f)) msymbol(o) mcolor(black) msize(small) title("FIGURE C6", size(med)) ciopts(lcolor(black)) legend(off) subtitle("Differential Partisan Control Effects of Committee-President Ideological Distance" "(Only 'High Committee Delay' Presidential Administrations)", size(small))
 
 


*graph save "Graph" "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Confirmation Delay & Senate Committees\2023 Version\Spring 2024\Statistics\Graphics\Appendix C\FigureC6.gph", replace

graph save "Graph" "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix C/FigureC6.gph", replace



 

 
 

 
 
 



****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************


log close
